prCaGetImputationCols

Function for retrieving the imputation arguments

internal

Methods for manipulating regression models and for describing these in a style adapted for medical journals.
Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model
estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots.
In addition to the descriptive methods, there are functions for the robust covariance matrix provided by the 'sandwich'
package, a function for adding non-linearities to a model, and a wrapper around the 'Epi' package's Lexis() functions for
time-splitting a dataset when modeling non-proportional hazards in Cox regressions.

Max Gordon

Greg

Regression Helper Functions

Reinhard Seifert

prCaGetImputationCols function

<dl><dt>impute_args</dt>
<dd>The imputation arguments from <code>printCrudeAndAdjustedModel</code>
function call.</dd>
<dt>output_mtrx</dt>
<dd>The reordered groups matrix (a nx4 matrix)
that have been prepared in for the <code>printCrudeAndAdjustedModel</code>
function. It is important that the references
if any have been added.</dd>
<dt>model</dt>
<dd>The imputation model. Currently only <code><a href="/link/fit.mult.impute?package=Greg&version=2.0.2" data-mini-rdoc="Greg::fit.mult.impute">fit.mult.impute</a></code>
is supported by the function.</dd>
<dt>data</dt>
<dd>The data that has been used for generating the model.</dd></dl>

Arguments

Function for retrieving the imputation arguments — prCaGetImputationCols

<dl>

<dt>impute_args</dt>
<dd>The imputation arguments from <code>printCrudeAndAdjustedModel</code>
function call.</dd>


<dt>output_mtrx</dt>
<dd>The reordered groups matrix (a nx4 matrix)
that have been prepared in for the <code>printCrudeAndAdjustedModel</code>
function. It is important that the references
if any have been added.</dd>


<dt>model</dt>
<dd>The imputation model. Currently only <code><a href='https://rdrr.io/pkg/Hmisc/man/transcan.html'>fit.mult.impute</a></code>
is supported by the function.</dd>


<dt>data</dt>
<dd>The data that has been used for generating the model.</dd>

</dl>

prCaGetImputationCols: Function for retrieving the imputation arguments

Description

Usage

Value

Arguments

See Also